Last Class: Clock Synchronization. Today: More Canonical Problems

Transcription

1 Last Class: Clock Synchronization Logical clocks Vector clocks Global state Lecture 11, page 1 Today: More Canonical Problems Distributed snapshot and termination detection Election algorithms Bully algorithm Ring algorithm Lecture 11, page 2

2 Global State Global state of a distributed system Local state of each process Messages sent but not received (state of the queues) Many applications need to know the state of the system Failure recovery, distributed deadlock detection Problem: how can you figure out the state of a distributed system? Each process is independent No global clock or synchronization Distributed snapshot: a consistent global state Lecture 11, page 3 Distributed Snapshot Algorithm Assume each process communicates with another process using unidirectional point-to-point channels (e.g, TCP connections) Any process can initiate the algorithm Checkpoint local state Send marker on every outgoing channel On receiving a marker Checkpoint state if first marker and send marker on outgoing channels, save messages on all other channels until: Subsequent marker on a channel: stop saving state for that channel Lecture 11, page 4

3 Distributed Snapshot A process finishes when It receives a marker on each incoming channel and processes them all State: local state plus state of all channels Send state to initiator Any process can initiate snapshot Multiple snapshots may be in progress Each is separate, and each is distinguished by tagging the marker with the initiator ID (and sequence number) A M M B C Lecture 11, page 5 Snapshot Algorithm Example a) Organization of a process and channels for a distributed snapshot Lecture 11, page 6

4 Snapshot Algorithm Example b) Process Q receives a marker for the first time and records its local state c) Q records all incoming message d) Q receives a marker for its incoming channel and finishes recording the state of the incoming channel Lecture 11, page 7 Termination Detection Detecting the end of a distributed computation Notation: let sender be predecessor, receiver be successor Two types of markers: Done and Continue After finishing its part of the snapshot, process Q sends a Done or a Continue to its predecessor Send a Done only when All of Q s successors send a Done Q has not received any message since it check-pointed its local state and received a marker on all incoming channels Else send a Continue Computation has terminated if the initiator receives Done messages from everyone Lecture 11, page 8

5 Election Algorithms Many distributed algorithms need one process to act as coordinator Doesn t matter which process does the job, just need to pick one Election algorithms: technique to pick a unique coordinator (aka leader election) Examples: take over the role of a failed process, pick a master in Berkeley clock synchronization algorithm Types of election algorithms: Bully and Ring algorithms Lecture 11, page 9 Bully Algorithm Each process has a unique numerical ID Processes know the Ids and address of every other process Communication is assumed reliable Key Idea: select process with highest ID Process initiates election if it just recovered from failure or if coordinator failed 3 message types: election, OK, I won Several processes can initiate an election simultaneously Need consistent result O(n 2 ) messages required with n processes Lecture 11, page 10

6 Bully Algorithm Details Any process P can initiate an election P sends Election messages to all process with higher Ids and awaits OK messages If no OK messages, P becomes coordinator and sends I won messages to all process with lower Ids If it receives an OK, it drops out and waits for an I won If a process receives an Election msg, it returns an OK and starts an election If a process receives a I won, it treats sender an coordinator Lecture 11, page 11 Bully Algorithm Example The bully election algorithm Process 4 holds an election Process 5 and 6 respond, telling 4 to stop Now 5 and 6 each hold an election Lecture 11, page 12

7 Bully Algorithm Example d) Process 6 tells 5 to stop e) Process 6 wins and tells everyone Lecture 11, page 13 Ring-based Election Processes have unique Ids and arranged in a logical ring Each process knows its neighbors Select process with highest ID Begin election if just recovered or coordinator has failed Send Election to closest downstream node that is alive Sequentially poll each successor until a live node is found Each process tags its ID on the message Initiator picks node with highest ID and sends a coordinator message Multiple elections can be in progress Wastes network bandwidth but does no harm Lecture 11, page 14

8 A Ring Algorithm Election algorithm using a ring. Lecture 11, page 15 Comparison Assume n processes and one election in progress Bully algorithm Worst case: initiator is node with lowest ID Triggers n-2 elections at higher ranked nodes: O(n 2 ) msgs Best case: immediate election: n-2 messages Ring 2 (n-1) messages always Lecture 11, page 16